The question of whether one should run A/B tests (a.k.a online controlled experiments) using one-tailed versus two-tailed tests of significance was something I didn’t even consider important, as I thought the answer (one-tailed) was so self-evident that no discussion was necessary.| Blog for Web Analytics, Statistics and Data-Driven Internet Marketing | Analy...
Short, understandable, yet accurate explanation of p-values and confidence intervals. Starting from the problem of random variability and building up with minimal jargon, this is the most accessible introduction to these basic statistical concepts. Understand the meaning and utility of confidence intervals and p-values in statistical hypothesis testing and estimation.| Blog for Web Analytics, Statistics and Data-Driven Internet Marketing | Analy...
White papers and case studies on web analytics, statistics, ab testing, experiments in online marketing and user experience design.| www.analytics-toolkit.com
Learn the meaning of p-value in the context of A/B testing, a.k.a. online controlled experiments and conversion rate optimization. Detailed definition of p-value, related reading, examples. Glossary of split testing terms.| www.analytics-toolkit.com
Learn the meaning of Risk-Reward Analysis in the context of A/B testing, a.k.a. online controlled experiments and conversion rate optimization. Detailed definition of Risk-Reward Analysis, related reading, examples. Glossary of split testing terms.| www.analytics-toolkit.com
Learn the meaning of Confidence Interval (a.k.a. CI) in the context of A/B testing, a.k.a. online controlled experiments and conversion rate optimization. Detailed definition of Confidence Interval, related reading, examples. Glossary of split testing terms.| www.analytics-toolkit.com
Learn the meaning of A/B Testing (a.k.a. split testing) in the context of A/B testing, a.k.a. online controlled experiments and conversion rate optimization. Detailed definition of A/B Testing, related reading, examples. Glossary of split testing terms.| www.analytics-toolkit.com
The one-stop-shop for statistical planning and analysis of online A/B tests. Analytics Toolkit's advanced A/B test statistical calculator enable your A/B testing program to reach new levels of statistical rigor and efficiency. Plan and analyze A/B tests with ease and get results you can trust.| www.analytics-toolkit.com